Intelligent detection method and system for non-destructive testing of ship cabin sealing

Abstract

The present invention discloses an intelligent detection method and system for non-destructive testing of the sealing of a ship's cabin, the method comprising: real-time monitoring of the change in gas concentration in the cabin, and calculation of the spatiotemporal distribution of gas concentration in combination with a diffusion model, using a sealing state calculation formula, combining sensor weights, gas concentration distribution and time decay characteristics, quantitatively evaluating the cabin's sealing condition; in the leakage detection link, accurately locating the leakage source through weighted calculation of gas concentration and air pressure changes, and determining the leakage point in combination with gas diffusion characteristics; the system further calculates the repair intensity, dynamically adjusts the repair intensity, and after the repair is completed, updates the gas concentration in the cabin, and finally performs comprehensive sealing verification. The present invention can realize high-precision, real-time, and non-destructive ship cabin sealing detection, is suitable for ship safety detection, airtightness assessment and intelligent maintenance fields, and improves the intelligence level and detection efficiency of sealing detection.

Description

Technical Field

[0001] The present invention relates to the field of ship cabin sealing detection, and in particular to an intelligent detection method and system for non-destructive testing of ship cabin sealing. Background Art

[0002] With the development of ship engineering technology, ship sealing detection has gradually become an important part of ensuring the safe operation of ships. The sealing of the ship's cabin is directly related to the safety and reliability of the ship. Therefore, it is particularly important to conduct regular sealing detection of the ship's cabin. Traditional methods for testing the sealing of ship cabins usually rely on manual detection or evaluate the sealing condition through changes in air pressure. However, these methods have certain limitations, mainly manifested in the inability to monitor the changes in gas concentration inside the cabin in real time, the lack of accurate simulation of gas diffusion behavior, and the inaccurate evaluation of the location of the leak source and the strength of the repair. Therefore, the technology for testing the sealing of ship cabins is in urgent need of innovation to meet the needs of efficient and accurate detection.

[0003] In recent years, the continuous progress of gas sensor technology and big data analysis technology has provided new possibilities for sealing detection. By arranging multiple different types of gas sensors inside the cabin, the changes in gas concentration in the cabin can be monitored in real time, thereby realizing dynamic monitoring of the sealing status of the ship's cabin. In addition, the mathematical model based on diffusion theory can more accurately describe the diffusion process of gas in the cabin, thereby providing more accurate data support for the location of the leak source. By combining the real-time adjustment of gas concentration, leak source location and repair intensity, dynamic evaluation of the sealing status and optimization of the repair plan can be achieved.

[0004] There are at least the following technical problems in the prior art: the prior art ignores the spatial and temporal characteristics of gas diffusion and cannot accurately simulate the diffusion process of gas in the cabin, resulting in inaccurate positioning of the gas leakage source, which in turn affects the assessment of the repair strength; the repair plan is not dynamically adjusted according to the sealing status of the cabin, resulting in the repair work may not be carried out in a timely or accurate manner, increasing the cost and time of the repair; there is a lack of effective algorithms for locating the leakage source and dynamically evaluating the sealing status, and it is impossible to track the changes in air pressure and concentration in real time during the repair process, resulting in only rough detection and repair, and the inability to achieve efficient sealing repair effects. Summary of the invention

[0005] The present invention provides an intelligent detection method and system for non-destructive testing of the sealing of a ship's hull, so as to solve the problems that the prior art ignores the spatial and temporal characteristics of gas diffusion, cannot accurately simulate the diffusion process of gas in the hull, and makes the positioning of the gas leakage source inaccurate, which in turn affects the evaluation of the repair strength; does not dynamically adjust the repair plan according to the sealing state of the hull, resulting in that the repair work may not be carried out in a timely or accurate manner, increasing the cost and time of the repair; lacks an effective algorithm for locating the leakage source and dynamically evaluating the sealing state, and cannot track the changes in air pressure and concentration in real time during the repair process, resulting in that it can only perform rough detection and repair, and cannot achieve an efficient sealing repair effect.

[0006] The intelligent detection method and system for nondestructive testing of ship cabin sealing of the present invention specifically include the following technical solutions: The intelligent detection method for nondestructive testing of ship hull sealing includes the following steps: S1. Real-time monitoring of the changes in gas concentration in the cabin, using a mathematical model based on diffusion theory to simulate the diffusion process of gas in the cabin, conduct a sealing test, and obtain the sealing status; S2. Through weighted calculation of air pressure changes and combined with the sealing status, the location of the leakage source is accurately determined. After the location of the leakage source is determined, the repair strength is calculated and the gas concentration in the cabin is updated. Finally, through comprehensive verification of air pressure and gas concentration, the non-destructive test of the sealing of the ship's cabin is completed.

[0007] Preferably, the S1 specifically includes: In order to accurately simulate the diffusion process of gas in the cabin, a mathematical model based on diffusion theory is used. The change of gas concentration is not only related to the initial concentration and diffusion coefficient of the gas, but also closely related to the time and spatial position. Calculate the change of gas concentration at any position: ; in, Represents the time t and spatial position Gas concentration; is the initial gas concentration, the gas concentration at the beginning of the test, which is determined by experiments or given by the initial input of the system; From the leak source to the measuring point spatial distance; It is the diffusion coefficient of the gas in the cabin environment, reflecting the diffusion rate of the gas in the medium. The size of the diffusion coefficient is related to the properties of the gas, the material of the cabin and the temperature of the gas, and can be measured experimentally. is the attenuation coefficient, which is used to describe the decay rate of gas concentration over time and is obtained by fitting experimental data; is the attenuation coefficient, which is used to adjust the changing trend of gas concentration and is obtained by fitting experimental data.

[0008] Preferably, the S1 specifically includes: During the sealing test, the sealing state of the cabin is closely related to the change over time. The sealing state can be obtained by real-time monitoring of the change in gas concentration. As a quantitative indicator of the current sealing of the cabin, the gas concentration measured by each sensor and the sealing attenuation characteristics over time are taken into account. The sealing state calculation takes into account the distribution of gas concentration, the weighting of sensor data and the time factor to better describe the leakage degree of the cabin at different time points. The calculation formula for the sealing state is as follows: ; in, is the sealing status, indicating the overall sealing condition of the cabin at time t; is the number of sensors; is the gas concentration of the ith sensor at time t; is the weight of the ith sensor, which is determined by the accuracy, location, and importance of the sensor. The selection of weights needs to consider the priority of the sensor location. Sensors located in areas where leakage may occur have larger weights; is the attenuation coefficient, which describes the rate of change of the sealing state over time and is obtained through experimental measurement; It is a time-dependent attenuation constant, reflecting the time attenuation characteristics of the sealing change process, and is measured experimentally; the time attenuation function The design makes the contribution of gas concentration changes to the sealing evaluation gradually weaken over time, so that the evaluation of the sealing status not only depends on the current air pressure value, but also takes into account the time decay effect.

[0009] Preferably, the S2 specifically includes: In the process of locating the leak source, the pressure change of the gas leak is a key parameter, reflecting the impact of the leak source on the gas concentration at different locations; according to the diffusion characteristics of the gas in the cabin, the gas will show a higher concentration near the leak source, and as the distance increases, the gas concentration will gradually weaken; therefore, in order to accurately calculate the location of the leak source, it is necessary to perform a weighted summation of the pressure changes at each location based on the gas concentration data measured by each sensor and the distance between its location and the target location. Calculate the location of the leak source: ; in, It's location The change in air pressure at the leak reflects the pressure difference between the leak source and the measurement location. is the sealing status, indicating the overall sealing condition of the cabin at time t; is the number of sensors; is the gas concentration of the ith sensor at time t; For the i-th sensor to the target position spatial distance; is the diffusion coefficient of the i-th sensor, representing the diffusion scale of gas from the leakage source to the i-th sensor, which is determined by experiments.

[0010] Preferably, the S2 specifically includes: Repair strength is an important indicator for evaluating the strength required in the process of cabin sealing repair. It reflects the need for adjusting the air pressure during the gas leakage repair process. The specific calculation not only takes into account the current air pressure difference, but also the influence of the sealing state and the location of the leakage source. As the repair work progresses, the sealing state will change dynamically, affecting the adjustment of the repair strength. Therefore, the formula for repair strength simulates the gradual process of air pressure recovery during the repair process through the time decay factor. The calculation formula for repair strength is as follows: ; in, is the repair intensity, which indicates the amount of effort required to repair a gas leak or the amount of adjustment during the repair process; is the proportionality coefficient of the repair intensity, obtained experimentally, describing the efficiency of the repair process; is the time constant of the repair process, determined experimentally, and controls the rate at which the repair intensity changes with time.

[0011] Preferably, the S2 specifically includes: After the repair is completed, the gas concentration in the cabin needs to be updated to reflect the actual situation of the cabin's sealing after the repair. This is achieved through the following formula: ; ; in, is the air pressure value after repair; is the air pressure value before repair; is the gas flow rate leaking at time t; is the maximum leakage flow rate before repair; is the leakage coefficient, which reflects the nature of the leakage source; is the area of ​​the initial leakage hole, obtained through actual measurement; is the proportionality coefficient of the repair strength, an empirical value obtained through experimental or simulation data, used to quantify the effect of the repair strength on the leakage hole area; is the gas density, which depends on the type of gas and the ambient conditions.

[0012] The intelligent detection system for non-destructive testing of ship hull sealing includes the following parts: Gas sensor array module, data preprocessing module, gas diffusion simulation module, sealing status calculation module, leakage source location module, repair strength calculation module, post-repair air pressure update module, sealing verification and reporting module The gas sensor array module is responsible for arranging multiple gas sensors (such as oxygen, carbon dioxide, helium, etc.) to collect gas concentration data in the cabin in real time and connect with the data preprocessing module; The data preprocessing module performs noise filtering, error correction, signal amplification and other processing on the raw data obtained from the gas sensor array module, and transmits the preprocessed data to the gas diffusion simulation module, the sealing state calculation module, and the leakage source positioning module; The gas diffusion simulation module calculates the concentration changes of gas at different positions in the cabin based on the gas diffusion theory, simulates the gas diffusion process, and transmits the output concentration change data to the sealing status calculation module and the leakage source positioning module; The sealing status calculation module calculates the sealing status of the entire cabin based on the gas concentration data of each sensor and the time decay factor, and obtains the sealing status index, which reflects the current sealing degree of the cabin and is passed to the leakage source positioning module, the repair strength calculation module, and the post-repair air pressure update module; The leakage source positioning module calculates and locates the position of the gas leakage source using the gas diffusion model according to the gas concentration data and its spatial position measured by the sensor; the leakage source positioning module is connected with the repair intensity calculation module and the post-repair gas pressure update module; The repair strength calculation module calculates the required repair strength according to the leak source location, sealing status and air pressure difference, and dynamically adjusts the repair strength to ensure the effective progress of the sealing repair process; the output repair strength will be passed to the post-repair air pressure update module; The post-repair air pressure update module is responsible for updating the air pressure value of the cabin after the repair process is completed according to factors such as repair strength, gas flow, and leakage location, and calculating the air pressure after repair; and transmitting the air pressure after repair to the sealing verification and reporting module; The sealing verification and reporting module is responsible for verifying whether the cabin sealing meets the standards after the repair is completed, conducting a comprehensive assessment of the air pressure, gas concentration and sealing status, and generating a final test report.

[0013] The beneficial effects of the technical solution of the present invention are: 1. Through the mathematical model based on diffusion theory, the diffusion process of gas in the cabin can be accurately simulated. Taking into account the gas diffusion rate at different positions, the geometric shape of the cabin, the physical properties of the gas and the environmental conditions, it provides the necessary data support for the subsequent leakage source positioning. By accurately calculating the changes in gas concentration at each position, the location of the gas leakage source can be accurately located; 2. The system can calculate the quantitative index of the sealing status by real-time monitoring of the changes in gas concentration, combined with factors such as attenuation coefficient, time factor and sensor position, and can accurately reflect the overall sealing status of the cabin, providing data support for further repair strategies; 3. The system can not only detect the location of the leak source, but also calculate the strength required for repair based on the leak level, sealing status and air pressure changes. Through the repair strength formula, the repair strength can be adjusted in real time to ensure that the sealing repair work can be completed efficiently and dynamically adapt to the status changes during the repair process. 4. After the repair is completed, the system will verify the gas concentration, air pressure and sealing status in the cabin again, and generate a final test report by comparing with the standard sealing value to ensure that the sealing of the ship's cabin meets the design and safety standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a structural diagram of the intelligent detection system for non-destructive testing of ship cabin sealing according to the present invention; Figure 2 The present invention is a flowchart of the intelligent detection method for non-destructive testing of ship cabin sealing. DETAILED DESCRIPTION

[0015] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0017] The specific scheme of the intelligent detection method and system for non-destructive testing of ship cabin sealing provided by the present invention is described in detail below with reference to the accompanying drawings.

[0018] See attached Figure 1 , which shows a structural diagram of an intelligent detection system for non-destructive testing of ship cabin sealing provided by an embodiment of the present invention, the system includes the following parts: Gas sensor array module, data preprocessing module, gas diffusion simulation module, sealing status calculation module, leakage source location module, repair strength calculation module, post-repair air pressure update module, sealing verification and reporting module The gas sensor array module is responsible for arranging multiple gas sensors (such as oxygen, carbon dioxide, helium, etc.) to collect gas concentration data in the cabin in real time and connect with the data preprocessing module; The data preprocessing module performs noise filtering, error correction, signal amplification and other processing on the raw data obtained from the gas sensor array module, and transmits the preprocessed data to the gas diffusion simulation module, the sealing state calculation module, and the leakage source positioning module; The gas diffusion simulation module calculates the concentration changes of gas at different positions in the cabin based on the gas diffusion theory, simulates the gas diffusion process, and transmits the output concentration change data to the sealing status calculation module and the leakage source positioning module; The sealing status calculation module calculates the sealing status of the entire cabin based on the gas concentration data of each sensor and the time decay factor, and obtains the sealing status index, which reflects the current sealing degree of the cabin and is passed to the leakage source positioning module, the repair strength calculation module, and the post-repair air pressure update module; The leakage source positioning module calculates and locates the position of the gas leakage source using the gas diffusion model according to the gas concentration data and its spatial position measured by the sensor; the leakage source positioning module is connected with the repair intensity calculation module and the post-repair gas pressure update module; The repair strength calculation module calculates the required repair strength according to the leak source location, sealing status and air pressure difference, and dynamically adjusts the repair strength to ensure the effective progress of the sealing repair process; the output repair strength will be passed to the post-repair air pressure update module; The post-repair air pressure update module is responsible for updating the air pressure value of the cabin after the repair process is completed according to factors such as repair strength, gas flow, and leakage location, and calculating the air pressure after repair; and transmitting the air pressure after repair to the sealing verification and reporting module; The sealing verification and reporting module is responsible for verifying whether the cabin sealing meets the standards after the repair is completed, conducting a comprehensive assessment of the air pressure, gas concentration and sealing status, and generating a final test report.

[0019] See attached Figure 2 , which shows a flow chart of an intelligent detection method for non-destructive testing of ship cabin sealing provided by an embodiment of the present invention, the method comprising the following steps: S1. Real-time monitoring of the changes in gas concentration in the cabin, using a mathematical model based on diffusion theory to simulate the diffusion process of gas in the cabin, conduct a sealing test, and obtain the sealing status; In order to accurately measure the changes in gas concentration inside the cabin, multiple gas sensors are deployed, including different types of sensors such as oxygen, carbon dioxide, helium, etc. The choice of sensors is determined based on the characteristics of the gas in the cabin and the type of leaked gas.

[0020] The frequency of gas concentration data collection is set to once per second by default, which can be adjusted dynamically according to the leakage characteristics and the rate of change of gas concentration to ensure that the intelligent detection system can respond to the fluctuation of gas concentration inside the cabin in real time. Sensors are arranged in key areas of the cabin, such as edges, corners, and seams, and the arrangement density is optimized through CFD (computational fluid dynamics) simulation to ensure that the diffusion of gas can be fully monitored. Preprocessing includes noise filtering, error correction and other operations to ensure the accuracy of the collected data.

[0021] During the data processing process, based on the spatial position of the sensor, the spatial position represented by each data point can be determined, thereby providing necessary information for the subsequent gas diffusion model and leakage source location algorithm. Through precise time and space positioning, a gas concentration time series data set containing multiple location points is generated.

[0022] In the process of gas leak detection, the diffusion behavior of gas in the cabin is one of the key factors affecting the accuracy of leak detection. In order to accurately simulate the diffusion process of gas in the cabin, a mathematical model based on diffusion theory is used. The change in gas concentration is affected by factors such as the initial concentration of the gas, the diffusion coefficient, the spatial position, and time. Specifically, the diffusion rate of the gas at different locations may vary due to the geometric shape of the cabin, the physical properties of the gas (viscosity, density, molecular weight, etc.), and the environmental conditions in the cabin (such as temperature and humidity). The change in gas concentration at any position is calculated using the following formula:

[0023] in, Represents the time t and spatial position Gas concentration; is the initial gas concentration, the gas concentration at the beginning of the test, determined by the experiment; From the leak source to the measuring point spatial distance; It is the diffusion coefficient of gas in the cabin environment, reflecting the diffusion rate of gas in the medium. The size of the diffusion coefficient is related to the properties of the gas, the material of the cabin and the temperature of the gas, and can be measured through experiments. is the attenuation coefficient, which is used to describe the decay rate of gas concentration over time and is obtained by fitting experimental data; It is the attenuation coefficient, which is used to adjust the changing trend of gas concentration and is obtained by fitting experimental data. Through the gas concentration calculation formula, the gas concentration distribution at different locations can be accurately calculated, thereby providing necessary data support for the subsequent leakage source location.

[0024] During the sealing test, the sealing state of the cabin is closely related to the change over time. The sealing state can be obtained by real-time monitoring of the change in gas concentration. As a quantitative indicator of the current sealing of the cabin, the gas concentration measured by each sensor and the sealing attenuation characteristics over time are taken into account. The sealing state calculation takes into account the distribution of gas concentration, the weighting of sensor data and the time factor to better describe the leakage degree of the cabin at different time points. The calculation formula for the sealing state is as follows:

[0025] in, is the sealing status, indicating the overall sealing condition of the cabin at time t; is the number of sensors; is the gas concentration of the ith sensor at time t; is the weight of the ith sensor, which is determined by the accuracy, location, and importance of the sensor. The selection of weights needs to consider the priority of the sensor location. Sensors located in areas where leakage may occur have larger weights; is the attenuation coefficient, which describes the rate of change of the sealing state over time and is obtained through experimental measurement; It is a time-dependent attenuation constant that reflects the time attenuation characteristics of the sealing change process and is measured experimentally. Time decay function The design makes the contribution of gas concentration changes to the sealing evaluation gradually weaken over time, so that the evaluation of the sealing status not only depends on the current air pressure value, but also takes into account the time decay effect. Through the sealing status formula, a comprehensive sealing status index can be obtained as the input of the subsequent algorithm to reflect the overall sealing status of the cabin.

[0026] S2. Through weighted calculation of air pressure changes and combined with the sealing status, the location of the leakage source is accurately determined. After the location of the leakage source is determined, the repair strength is calculated and the gas concentration in the cabin is updated. Finally, through comprehensive verification of air pressure and gas concentration, the non-destructive test of the sealing of the ship's cabin is completed.

[0027] After determining the sealing status of the cabin, the next step is to locate the source of the leak. In the process of locating the source of the leak, the pressure change of the gas leak is a key parameter, reflecting the impact of the leak on the gas concentration at different locations. According to the diffusion characteristics of the gas in the cabin, the gas will show a higher concentration near the leak source, and as the distance increases, the gas concentration will gradually weaken. Therefore, in order to accurately calculate the location of the leak source, it is necessary to perform a weighted summation of the pressure changes at each location based on the gas concentration data measured by each sensor and the distance between its location and the target location. The specific location of the leak source is inferred using the following formula:

[0028] in, It's location The change in air pressure at the leak reflects the pressure difference between the leak source and the measurement location. For the i-th sensor to the target position spatial distance; is the diffusion coefficient of the i-th sensor, representing the diffusion scale of the gas from the leakage source to the i-th sensor, which is determined by experiments. The location of the gas leakage source can be accurately calculated through the point with the smallest pressure change value.

[0029] After determining the location of the leak source, the next step is to calculate the repair strength, that is, the required repair effort. Repair strength is an important indicator for evaluating the effort required in the cabin seal repair process. It reflects the need for air pressure adjustment during the gas leak repair process. The specific calculation not only considers the current air pressure difference, but also the influence of the sealing status and the location of the leak source. As the repair work progresses, the sealing status will change dynamically, affecting the adjustment of the repair effort. Therefore, the formula for the repair strength uses a time decay factor to simulate the gradual process of air pressure recovery during the repair process. The calculation formula for the repair strength is as follows:

[0030] in, is the repair intensity, which indicates the amount of effort required to repair a gas leak or the amount of adjustment during the repair process; is the proportionality coefficient of the repair intensity, obtained experimentally, describing the efficiency of the repair process; is the time constant of the repair process, determined by experiments, and controls the rate at which the repair strength changes over time. The repair strength measures the pressure difference required from the current state to the completion of the repair. The attenuation function of the repair process is It is used to describe the characteristics of the repair process that is gradually completed over time. Through the repair strength formula, the repair strength can be adjusted in real time according to the location of the leak source and the sealing status to ensure that the sealing repair is completed within the appropriate time.

[0031] After the repair is completed, the gas concentration in the cabin needs to be updated to reflect the actual situation of the cabin's sealing after the repair. This is achieved through the following formula:

[0032]

[0033] in, is the air pressure value after repair; is the air pressure value before repair; is the gas flow rate leaking at time t; is the maximum leakage flow rate before repair; is the leakage coefficient, which reflects the nature of the leakage source (such as pore size and gas flow characteristics); is the area of ​​the initial leakage hole, obtained through actual measurement; is the proportionality coefficient of the repair strength, an empirical value obtained through experimental or simulation data, used to quantify the effect of the repair strength on the leakage hole area; is the gas density, which depends on the type of gas and the environmental conditions. As the sealing state improves, the leakage flow will decrease because the effective area will decrease.

[0034] After the repair is completed, the air pressure, gas concentration and sealing status are fully verified again. By comparing with the standard sealing value, a final test report is generated to confirm whether the sealing of the ship's cabin meets the requirements. The sealing verification standards include whether the air pressure inside the cabin is stable, whether the gas concentration meets the standard, and whether the sealing status reaches the set target.

[0035] The order of the embodiments of the invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0036] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0037] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. An intelligent detection method for nondestructive testing of ship hull sealing, characterized in that: Includes steps: S1. Real-time monitoring of the changes in gas concentration in the cabin, using a mathematical model based on diffusion theory to simulate the diffusion process of gas in the cabin, conduct a sealing test, and obtain the sealing status; S2. Through weighted calculation of air pressure changes and combined with the sealing status, the location of the leakage source is accurately determined. After the location of the leakage source is determined, the repair strength is calculated and the gas concentration in the cabin is updated. Finally, through comprehensive verification of air pressure and gas concentration, the non-destructive test of the sealing of the ship's cabin is completed.

2. The intelligent detection method for nondestructive testing of ship cabin sealing according to claim 1 is characterized in that: In S1, in order to accurately simulate the diffusion process of gas in the cabin, a mathematical model based on diffusion theory is used to calculate the change in gas concentration at any position: ； in, Represents the time t and spatial position Gas concentration; is the initial gas concentration, the gas concentration at the beginning of the test, which is determined by experiments or given by the initial input of the system; From the leak source to the measuring point spatial distance; It is the diffusion coefficient of the gas in the cabin environment, reflecting the diffusion rate of the gas in the medium. The size of the diffusion coefficient is related to the properties of the gas, the material of the cabin and the temperature of the gas, and can be measured experimentally. It is the attenuation coefficient, which is used to describe the decay rate of the gas concentration over time and is obtained by fitting experimental data. is the attenuation coefficient, which is used to adjust the changing trend of gas concentration and is obtained by fitting experimental data.

3. The intelligent detection method for nondestructive testing of ship hull sealing according to claim 1 is characterized in that: In S1, during the sealing test, the sealing state can be obtained by real-time monitoring of the change in gas concentration. The calculation formula of the sealing state is as follows: ； in, is the sealing status, indicating the overall sealing condition of the cabin at time t; is the number of sensors; is the gas concentration of the ith sensor at time t; is the weight of the ith sensor, which is determined by the accuracy, location, and importance of the sensor. The selection of weights needs to consider the priority of the sensor location. Sensors located in areas where leakage may occur have larger weights; is the attenuation coefficient, which describes the rate of change of the sealing state over time and is obtained through experimental measurement; It is a time-dependent attenuation constant, reflecting the time attenuation characteristics of the sealing change process, and is measured experimentally; the time attenuation function The design makes the contribution of gas concentration changes to the sealing evaluation gradually weaken over time, so that the evaluation of the sealing status not only depends on the current air pressure value, but also takes into account the time decay effect.

4. The intelligent detection method for nondestructive testing of ship hull sealing according to claim 1 is characterized in that: In S2, in the process of locating the leakage source, the position of the leakage source is calculated according to the diffusion characteristics of the gas in the cabin: ； in, It's location The change in air pressure at the leak reflects the pressure difference between the leak source and the measurement location. is the sealing status, indicating the overall sealing condition of the cabin at time t; is the number of sensors; is the gas concentration of the ith sensor at time t; For the i-th sensor to the target position spatial distance; is the diffusion coefficient of the i-th sensor, representing the diffusion scale of gas from the leakage source to the i-th sensor, which is determined by experiments.

5. The intelligent detection method for nondestructive testing of ship cabin sealing according to claim 1 is characterized in that: In S2, the calculation formula of the repair strength is as follows: ； in, is the repair intensity, which indicates the amount of effort required to repair a gas leak or the amount of adjustment during the repair process; is the proportionality coefficient of the repair intensity, obtained experimentally, describing the efficiency of the repair process; is the time constant of the repair process, determined experimentally, and controls the rate at which the repair intensity changes with time.

6. The intelligent detection method for nondestructive testing of ship cabin sealing according to claim 1 is characterized in that: In S2, the gas concentration in the cabin is updated to reflect the actual situation after the cabin sealing is repaired, which is achieved by the following formula: ； ； in, is the air pressure value after repair; is the air pressure value before repair; is the gas flow rate leaking at time t; is the maximum leakage flow rate before repair; is the leakage coefficient, which reflects the nature of the leakage source; is the area of ​​the initial leakage hole, obtained through actual measurement; is the proportionality coefficient of the repair strength, an empirical value obtained through experimental or simulation data, used to quantify the effect of the repair strength on the leakage hole area; is the gas density, which depends on the type of gas and the ambient conditions.

7. Intelligent detection system for non-destructive testing of ship cabin sealing, characterized by: include: Gas sensor array module, data preprocessing module, gas diffusion simulation module, sealing status calculation module, leakage source positioning module, repair strength calculation module, post-repair air pressure update module, sealing verification and reporting module; The gas sensor array module is responsible for arranging multiple gas sensors for real-time collection of gas concentration data in the cabin and is connected to the data preprocessing module; The data preprocessing module performs noise filtering, error correction and other processing on the raw data obtained from the gas sensor array module, and transmits the preprocessed data to the gas diffusion simulation module, the sealing state calculation module, and the leakage source positioning module; The gas diffusion simulation module calculates the concentration changes of gas at different positions in the cabin based on the gas diffusion theory, simulates the gas diffusion process, and transmits the output concentration change data to the sealing status calculation module and the leakage source positioning module; The sealing status calculation module calculates the sealing status of the entire cabin based on the gas concentration data of each sensor and the time decay factor, and obtains the sealing status index, which reflects the current sealing degree of the cabin and is passed to the leakage source positioning module, the repair strength calculation module, and the post-repair air pressure update module; The leakage source positioning module calculates and locates the position of the gas leakage source using the gas diffusion model according to the gas concentration data and its spatial position measured by the sensor; the leakage source positioning module is connected with the repair intensity calculation module and the post-repair gas pressure update module; The repair strength calculation module calculates the required repair strength according to the leak source location, sealing status and air pressure difference, and dynamically adjusts the repair strength to ensure the effective progress of the sealing repair process; the output repair strength will be passed to the post-repair air pressure update module; The post-repair air pressure update module is responsible for updating the air pressure value of the cabin and calculating the air pressure after the repair process is completed according to factors such as repair strength, gas flow, and leakage location; Transmit the restored air pressure to the sealing verification and reporting module; The sealing verification and reporting module is responsible for verifying whether the cabin sealing meets the standards after the repair is completed, conducting a comprehensive assessment of the air pressure, gas concentration and sealing status, and generating a final test report.

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